Development and validation of a nomogram for predicting motoric cognitive risk syndrome among community-dwelling older adults in China: a cross-sectional study

This study constructs a nomogram model for MCR with high predictive accuracy, which provides a reference for large-scale early identification and screening of high-risk groups for MCR.

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Publication Details

Journal
Frontiers in Public Health
Published
2024-11-27
DOI
https://doi.org/10.3389/fpubh.2024.1482931
Citations
2
Primary Topic
Older Adults Driving Studies
Type
article
Field-Weighted Citation Impact
2.29
Controls
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article

Development and validation of a nomogram for predicting motoric cognitive risk syndrome among community-dwelling older adults in China: a cross-sectional study

Ye Jiang, Lijie Bi, Shu‐Hong Zhu, Yali Li
2 citations
Frontiers in Public Health
Older Adults Driving Studies
2.29
article

Development and validation of a nomogram for predicting motoric cognitive risk syndrome among community-dwelling older adults in China: a cross-sectional study

Ye Jiang, Lijie Bi, Shu‐Hong Zhu, Yali Li
article en
2 citations

Abstract

This study constructs a nomogram model for MCR with high predictive accuracy, which provides a reference for large-scale early identification and screening of high-risk groups for MCR.

Frontiers in Public HealthVol. 12
Peking University (CN), Peking University First Hospital (CN)
Good health and well-being
Openalex Percentile: Top 9%
Older Adults Driving Studies
2.29
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